Machine Learning and Artificial Intelligence Support Tools for Business
Call for Speakers: New Orleans Forum on Climate Linked Economics January 12-16, 2025, at the Ernest N. Morial Convention Center
Businesses and government entities are adopting AI-based decision support tools to help them manage risk and optimize performance. Many of these models use weather and climate data to improve performance. Examples include energy trading, storefront inventory selection and advertising, trucking transit times, crop yield forecasting, and renewable energy throughput. As AI adoption drives market efficiencies, effective use of weather data in AI decision support tools will only become more important. This session will present AI models from different industries that leverage weather and climate information to assist with business decision-making. Submissions should highlight the value of weather data added to their models and the challenges they faced. We encourage topics that address biases in datasets and, subsequently, models, as well as the impacts of these on decision-making tools. Additionally, we are interested in addressing any social science expertise needed to develop and deploy these tools.
ML/AI Decision Support Tools for Businesses is part of the New Orleans Forum on Climate Linked Economics
Chaired by: Jeff Massey, Weather Team Lead at Amazon Prime Air, and Stephen Bennett, Chief Scientist at Demex
Jointly organized by the American Meteorological Society’s Committee on Artificial Intelligence for Environmental Science and the AMS’s Financial Weather and Climate Risk Management Committee
